Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Wolynska, Poland.
Anim Genet. 2010 Feb;41(1):97-100. doi: 10.1111/j.1365-2052.2009.01958.x. Epub 2009 Sep 24.
As a result of its role in energy homeostasis regulation, the ADIPOR1 gene is a candidate for fat deposition, an important production trait, in the pig. The aim of the study was to conduct a comparative analysis of the ADIPOR1 postnatal transcript level, in order to establish its promoter and 5'UTR sequences and to search the gene for polymorphisms. The transcription level was examined in longissimus dorsi and semimembranosus muscles collected from 180 pigs at 60-210 days of age, representing five pig breeds: Duroc, Polish Large White, Polish Landrace, Pietrain and Pulawska. We calculated highly significant breed by age by muscle interaction (P < 0.0001) and breed by muscle interactions (P < 0.01). The 5'UTR and promoter region of the porcine ADIPOR1 gene were amplified for the first time and their sequences were deposited in the GenBank database. In total, 21 novel and two previously described polymorphisms were found in the ADIPOR1 promoter, coding, intronic, 5' and 3' untranslated regions. The only SNP detected in the coding region was a synonymous substitution. Two polymorphisms in 3'UTR (c.*129A>C and c.*536A>G) showed no significant effect on the transcript level. Our results showed a high polymorphism of the ADIPOR1 and a complexity in its transcription level in the studied muscles. This complexity indicates that conclusions based on such studies should be carefully gradated.
由于其在能量稳态调节中的作用,ADIPOR1 基因是猪脂肪沉积(一个重要的生产性状)的候选基因。本研究的目的是对 ADIPOR1 出生后转录水平进行比较分析,以确定其启动子和 5'UTR 序列,并搜索基因中的多态性。在代表五个猪品种的 180 头猪的背最长肌和半膜肌中检测了转录水平:杜洛克、波兰大白猪、波兰长白猪、皮特兰和波美拉尼亚猪。在 60-210 日龄时,我们计算了高度显著的品种与年龄的互作(P < 0.0001)和品种与肌肉的互作(P < 0.01)。首次扩增了猪 ADIPOR1 基因的 5'UTR 和启动子区,并将其序列提交到 GenBank 数据库。总共在 ADIPOR1 启动子、编码区、内含子、5'和 3'非翻译区发现了 21 个新的和两个以前描述的多态性。在编码区唯一检测到的 SNP 是同义取代。3'UTR 中的两个多态性(c.*129A>C 和 c.*536A>G)对转录水平没有显著影响。我们的研究结果表明,ADIPOR1 具有高度多态性,其在研究肌肉中的转录水平复杂。这种复杂性表明,基于此类研究的结论应谨慎分级。